How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A complete sum-check transcript over F_101
Example
Over let , with individual bounds and claimed sum . An honest transcript with successive challenges has messages The successive scalar claims are , and the terminal equality holds. For this polynomial, a false initial sum claim is accepted with probability at most by the randomized protocol; a displayed fixed challenge sequence alone is not a soundness proof.
Facts & Assumptions
Given: The objects and hypotheses in the statement above.
Honest messages are partial cube sums, with coefficient, endpoint-consistency and terminal checks (Sum-check with explicit degree bounds).
For any false initial claim, acceptance is at most min(1,sum_i d_i/|F|) under fresh independent challenges and trusted evaluation (Adaptive-prover soundness of sum-check).
Verification
Sum over Boolean to obtain . Then and . This also computes the cube sum by splitting over .
After , sum over : . Its endpoint sum is , and its value at is .
With that prefix . Its endpoint sum is . At its value is , also . The coefficient lists have lengths and the degrees meet , so all checks pass modulo 101.
For any false initial claim the soundness theorem applies to the fixed polynomial and trusted degree bounds, giving error at most over fresh independent challenges. It asserts this for all adaptive provers, separately from the honest transcript just computed.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
6 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Justin Thaler, Proofs, Arguments, and Zero-Knowledge (2023), §4.1 Example Execution pp.36–37 (standard reference, not scraped)